Senior AI Research Scientist at Workato

San Francisco, California, United States

Workato Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software, Artificial IntelligenceIndustries

Requirements

Candidates must possess an MS/PhD in Computer Science, ML, or a related field, or equivalent experience. Proficiency in PyTorch/JAX and modern LLM frameworks is essential. A strong publication record in top-tier ML venues or demonstrable impactful experimental work is required, along with hands-on experience in large-scale model training, transformer architectures, reinforcement learning techniques, and CUDA. The ideal candidate is curiosity-driven, self-directed, able to explain complex ideas to non-experts, and a team player who welcomes feedback and knowledge-sharing.

Responsibilities

The Senior AI Research Scientist will explore workflow-aware planning, cost-optimized RAG, tool-use evaluation, and multi-agent collaboration. Responsibilities include prototyping and benchmarking models, presenting findings internally and externally, collaborating with Product & Engineering to ship research-backed features, and contributing to open-source repositories and authoring technical blogs.

Skills

AI Research
Workflow-aware planning
RAG
Tool-use evaluation
Multi-agent collaboration
Prototyping
Benchmarking
Collaboration
Product Development
Engineering

Workato

Cloud-based automation and integration platform

About Workato

Workato provides a cloud-based platform for automating and integrating business processes using artificial intelligence. The platform helps organizations improve efficiency by unifying integration and automation, which reduces the complexity of using multiple tools and helps eliminate data silos. Workato's features include automated ticket escalation, threat detection, compliance management, and support for remote work, making it suitable for businesses of all sizes. The company operates on a subscription model, allowing clients to access its services for a recurring fee, which supports steady revenue growth. A standout feature, AI@Work, enables users to create intelligent systems by incorporating AI into their operations, making technology more accessible and facilitating business transformation. Workato's platform is designed to adapt to changing business needs while lowering operational costs and speeding up the implementation of integrations and automations.

Mountain View, CaliforniaHeadquarters
2013Year Founded
$403.7MTotal Funding
SERIES_ECompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Flexible working arrangements
EAP
Health insurance
Stock options
Professional development
PTO
Company events & recreation time

Risks

Emerging AI-driven platforms may erode Workato's market share with competitive pricing.
Rapid AI advancements require Workato to invest heavily in R&D to stay competitive.
Economic downturns could reduce client spending on Workato's subscription services.

Differentiation

Workato offers AI-driven automation with a focus on security and governance.
The platform supports low-code/no-code integrations, empowering non-technical users.
Workato's Virtual Private Workato caters to highly regulated industries with stringent security needs.

Upsides

Growing demand for AI-driven automation in healthcare boosts Workato's market potential.
Hybrid work models increase the need for Workato's remote work helpdesk features.
Rising interest in low-code/no-code platforms aligns with Workato's AI@Work feature.

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